Associate Professor Jingrui He has been awarded a two-year, $149,921 grant from the National Science Foundation (NSF) to improve the performance of deep learning models. For her project, "Weakly Supervised Graph Neural Networks," she will focus on the lack of labeled data in Graph Neural Networks (GNNs), a deep learning method designed to perform inference on data described by graphs.